Potential improvements on benzo(a)pyrene (BaP) mapping
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020699%3A_____%2F17%3AN0000145" target="_blank" >RIV/00020699:_____/17:N0000145 - isvavai.cz</a>
Výsledek na webu
<a href="http://acm.eionet.europa.eu/reports/ETCACM_TP_2016_3_BaP_improved_mapping" target="_blank" >http://acm.eionet.europa.eu/reports/ETCACM_TP_2016_3_BaP_improved_mapping</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Potential improvements on benzo(a)pyrene (BaP) mapping
Popis výsledku v původním jazyce
This paper examines the potential of improving of current BaP mapping by the use of so-called pseudo BaP station data based on either PM10 stations or PM2.5 stations. Alternatively, an approach using the PM2.5 rural and urban background maps as additional supplementary variables in the current mapping method is considered. Taking into account both the cross-validation and the relative standard error results, the most promising - for the time being with current lack of BaP stations - seems to be the method using pseudo stations based on PM2.5. Furthermore, this method could be potentially improved by including pseudo PM2.5 stations to increase the number of the pseudo BaP stations.
Název v anglickém jazyce
Potential improvements on benzo(a)pyrene (BaP) mapping
Popis výsledku anglicky
This paper examines the potential of improving of current BaP mapping by the use of so-called pseudo BaP station data based on either PM10 stations or PM2.5 stations. Alternatively, an approach using the PM2.5 rural and urban background maps as additional supplementary variables in the current mapping method is considered. Taking into account both the cross-validation and the relative standard error results, the most promising - for the time being with current lack of BaP stations - seems to be the method using pseudo stations based on PM2.5. Furthermore, this method could be potentially improved by including pseudo PM2.5 stations to increase the number of the pseudo BaP stations.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
10509 - Meteorology and atmospheric sciences
Návaznosti výsledku
Projekt
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Návaznosti
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů